AI risk management software
AI risk management software is a governance, risk, and compliance platform that helps you inventory every AI system, assess each one against standards like the NIST AI RMF, ISO 42001, and the EU AI Act, track the controls and evidence that keep them safe, and report AI risk to your board. RiskWatch does exactly that, using the same assessment engine and risk register that runs the rest of your program.
AI spread across your business before governance had a chance. Now everyone wants to see the list.
Most organizations adopted AI faster than they governed it. The result is a familiar three-part problem, and it is the same shape as every risk problem RiskWatch was built to solve.
AI is being adopted faster than anyone is tracking it
Marketing has a content copilot. Engineering has models in production. Someone in finance pasted customer data into a chatbot last week. Nobody has a single, current list of every AI system in use.
Every AI system carries risk that no one has assessed
Bias, data privacy, security exposure, third-party dependency, and model drift ride along with each deployment. Few of those systems have ever been assessed against a recognized standard.
The regulations and questionnaires have arrived
EU AI Act obligations phase in through 2026, and the NIST AI RMF and ISO 42001 are showing up in customer security reviews. Auditors and buyers now ask a direct question: how do you govern AI?
Six things AI risk management software has to do, in one platform.
Governing AI is not a new discipline. It is inventory, assessment, controls, evidence, and reporting applied to a new class of system. Here is what that looks like in practice.
One register of every AI system
Catalog each model, tool, and use case with its owner, purpose, data sources, vendor, and risk tier. Replace the spreadsheet nobody keeps current.
Structured assessments against AI standards
Run each system through the NIST AI RMF Govern, Map, Measure, and Manage functions, ISO 42001 controls, or EU AI Act obligations, using pre-built or custom libraries.
Controls and evidence in one place
Attach the controls that mitigate each AI risk and the evidence that proves they operate. Assign owners, set review dates, and track control health over time.
Reuse the security work you have already done
Map AI controls to SOC 2, ISO 27001, and NIST so one control satisfies many requirements. Answer an AI questionnaire without starting from a blank page.
Prioritize by inherent and residual risk
Score each AI system on likelihood and impact, capture the residual score after controls, and sort by risk tier so the high-impact systems get attention first.
Board-ready AI governance reporting
Dashboards and timestamped exports answer how do you govern AI in a click, for the board, an auditor, or a customer security review.
No new tool to learn. The engine you already trust, pointed at AI.
RiskWatch has run framework-based assessments since 1993. AI governance does not require a separate product. It requires three capabilities you already have, applied to a new class of system.
To be clear about what RiskWatch is: it is a GRC and assessment platform, not a model-monitoring or bias-detection tool. It governs AI risk the way it governs every other risk domain, through assessments, a register, controls, evidence, and an audit trail. Specialist model outputs can be recorded as evidence against your controls.
The assessment engine, pointed at AI
RiskWatch ships six assessment types and custom libraries, so you can upload the NIST AI RMF, ISO 42001, or your own internal AI policy as a standard and assess every system against it. If your program references a framework, RiskWatch can assess against it.
The risk register, holding your AI systems
Each AI system lives in the same risk register as the rest of your enterprise risk, scored on inherent and residual exposure, linked to owners, controls, and treatment decisions. AI risk stops being a separate silo and becomes part of one program.
The Audit Register, proving governance
Every assessment, score change, and control update is written to a timestamped Audit Register, with role-based access controlling who can see and change what. When an auditor or customer asks for proof, the trail is already there.
Put your AI systems on the record this week.
Inventory your AI systems, run a first NIST AI RMF assessment, and cross-map the controls to the SOC 2 and ISO 27001 work you have already done. No credit card required.
Assess against AI standards. Cross-map to the frameworks you already run.
RiskWatch supports assessing AI systems against the leading AI governance frameworks through pre-built and custom libraries, and lets you reuse the security and compliance controls you already maintain. If your program references a standard we do not list, you can upload it as a custom library.
NIST AI Risk Management Framework
A plain-English guide to the NIST AI RMF: its Govern, Map, Measure, and Manage functions and how to operationalize them.
Read moreRisk Management Software
The full risk platform behind AI governance: risk register, treatment workflows, KRIs, and framework mapping.
Read moreCyber Security Assessment Software
Assess security controls that also mitigate AI risk, and cross-map them to SOC 2, ISO 27001, and NIST.
Read moreAI risk management software, answered
What is AI risk management software?
AI risk management software is a governance, risk, and compliance (GRC) platform that helps organizations inventory their AI systems, assess each one against standards like the NIST AI RMF, ISO 42001, and the EU AI Act, track the controls and evidence that keep those systems safe, and report AI risk to leadership. Instead of a separate tool for every model, it places AI systems in the same risk register, control library, and audit trail an organization already uses to manage security and compliance risk.
Can RiskWatch assess AI systems against the NIST AI RMF?
Yes. RiskWatch is a framework-based assessment platform, and it supports assessing AI systems against the NIST AI RMF through pre-built or custom libraries. You can structure assessments around the four NIST AI RMF functions, Govern, Map, Measure, and Manage, capture findings and residual risk per system, and store the supporting evidence. Because RiskWatch lets you upload your own standard, you can also load an internal AI policy or a newer framework version and assess against that.
How does RiskWatch help with EU AI Act and ISO 42001 readiness?
RiskWatch helps you build the record those regimes expect: an inventory of AI systems with their risk tier and intended purpose, a documented assessment of each system, the controls that mitigate its risks, and a timestamped trail of who assessed what and when. You can load ISO 42001 or EU AI Act obligations as an assessment library and track each system against them. RiskWatch does not provide legal advice on classification, but it gives you the governance evidence a readiness effort depends on.
Does RiskWatch have AI-specific machine learning features built in?
No, and that is deliberate. RiskWatch is a GRC and assessment platform, not a model-monitoring or bias-detection tool. It governs AI risk the way it governs any other risk domain: through structured assessments against frameworks, a risk register, controls and evidence tracking, cross-mapping, and audit-ready reporting. If you need model performance monitoring, you would pair a specialist tool with RiskWatch and record that tool's outputs as evidence against your controls.
How does cross-mapping AI controls to SOC 2 and ISO 27001 work?
Many AI risks are managed by controls you already run for security and privacy, access management, vendor due diligence, data handling, change management, and logging. RiskWatch lets you map a single control to multiple frameworks, so one piece of evidence can satisfy a SOC 2 criterion, an ISO 27001 Annex A control, and an AI governance requirement at once. That reuse is what keeps an AI governance program from becoming a parallel compliance effort.
How long does it take to stand up an AI governance program in RiskWatch?
Most teams begin by inventorying their AI systems and running a first assessment within the first week, using pre-built and custom libraries rather than building from scratch. The pace after that depends on how many systems you have and which frameworks you are targeting. Because AI controls cross-map to existing SOC 2, ISO 27001, and NIST work, organizations with a mature compliance program typically move faster than they expect.
Is there a free trial?
Yes. The free trial requires no credit card and includes full access to the assessment engine, custom libraries, the risk register, and the Audit Register, so you can inventory your AI systems and run a real NIST AI RMF assessment against your own data before you buy.
Inventory, assess, and prove your AI governance, in one platform.
RiskWatch puts your AI systems in the same risk register, control library, and Audit Register that runs the rest of your program, assessed against the NIST AI RMF, ISO 42001, and the EU AI Act.
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